Guanchu (Gary) Wang
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Principal Investigator |
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About me
I am currently working at Shanghai Artificial Intelligence Laboratory. I earned my Ph.D. in Computer Science from Rice University in 2025, under the guidance of Dr. Xia Hu and Dr. Vladimir Braverman. My research focuses on foundation models and agents and their applications to healthcare.
News
- 07/2026: Our perspective paper Understanding Cognition-Induced Risks in Agentic AI Systems has been has attracted 7K views on Twitter🔥! See [Twitter]
- 07/2026: Our paper SEER: Long-Context Reasoning via Selective Visual-Text Compression is accepted by COLM 2026! Congrats to all co-authors!
- 07/2026: Our paper Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models is accepted by COLM 2026! Congrats to all co-authors! See [Paper].
- 04/2026: Our paper DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching is accepted by ICML 2026! Congrats to all co-authors! See [Paper].
- 04/2026: Our paper FAFO: Lossy KV Cache Compression for Lossless Inference Acceleration via Draftless Fumble Decoding is accepted by ICML 2026! Congrats to all co-authors!
- 04/2026: Our paper AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models is accepted by ACL 2026 as a finding paper! Congrats to all co-authors! See [Paper].
- 01/2026: Our paper Context matching is not reasoning when performing generalized clinical evaluation of generative language models. is accepted by NPJ Digital Medicine! Congrats to all co-authors! See [Paper].
- 01/2026: Our paper FaithLM: Towards Faithful Explanations for Large Language Models. is accepted by EACL 2025 as Oral paper! Congrats to all co-authors! See [Paper].
- 10/2025: Our paper Catastrophic Forgetting in Kolmogorov-Arnold Networks. is accepted by AAAI 2025! Congrats to all co-authors! See [Paper].
- 09/2025: Our paper Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining. is accepted by NeurIPS 2025! Congrats to all co-authors! See [Paper].
- 08/2025: Our paper Self-Ensemble: Mitigating Confidence Distortion for Large Language Models. is accepted by EMNLP 2025 Findings! Congrats to all co-authors! See [Paper].
- 08/2025: Our paper A Decoupled Multi-Agent Framework for Complex Text Style Transfer. is accepted by EMNLP 2025 Findings! Congrats to all co-authors! See [Paper].
- 05/2025: Our paper Quantized Can Still Be Calibrated: Understanding and Improving Uncertainty Calibration for Quantized Large Language Models. is accepted by ACL 2025! Credits to all co-authors! See [Paper].
- 05/2025: Our paper MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. is accepted by ACL 2025! Credits to all co-authors! See [Paper].
- 10/2024: Our paper Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. has attracted 175.9K views and 1.7K like on Twitter; 1K like on Xiaohongshu; and 5.6K impressions and 70 reactions on LinkedIn🔥! See [Twitter] [Xiaohongshu] [LinkedIn]
- 09/2024: Our work Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. is accepted by EMNLP 2024! Credits to all co-authors! See [Paper].
- 09/2024: Our benchmark paper KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. is accepted by EMNLP 2024 Findings! Credits to all co-authors! See [Paper].
- 08/2024: Our open-source dataset, corpora, and benchmark paper on LLMs for rare disease diagnosis have been released! See [Dataset] [Corpora] [Code] [Paper].
- 07/2024: Our work Efficient GNN Explanation via Learning Removal-based Attribution is published on TKDD! See [Paper] and [Code].
- 07/2024: Our benchmark paper on KV Cache Compression has been released! See [Paper] and [Code].
- 06/2024: Our benchmark paper on training foundational time-series models has been released! See [Paper], [Code], [Twitter], [Medium], and [Zhihu].
- 05/2024: Our work TVE: Learning Meta-attribution for Transferable Vision Explainer is accepted by ICML 2024! See [Paper].
- 03/2024: My pleasure of receiving the Doctoral Forum Travel Award in SDM 2024 (Society for Industrial and Applied Mathematics)!
- 02/2024: It is my honor to have received the admission of Future Leader Summit 2024!
- 11/2023: Our Natural Language UI for the NORD Rare-disease Database is online! [APP].
- 10/2023: Our work DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research achieves the Best Paper Honorable Mention in CIKM 2023! Thanks to all of the co-authors! See [Paper].
- 09/2023: Our work Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model is accepted by NeurIPS 2023! See [Paper].
- 09/2023: Our work Chasing Fairness under Distribution Shift: a Model Weight Perturbation Approach is accepted by NeurIPS 2023! See [Paper].
- 08/2023: Our work DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research is accepted by CIKM 2023 demo track! See [Paper] [Code] [Demo] [FrontEnd].
- 06/2023: Our work Mitigating Algorithmic Bias with Limited Annotations is accepted by ECML-PKDD 2023! See [Paper].
- 04/2023: Our work DIVISION: Memory Efficient Training via Dual Activation Precision is accepted by ICML 2023! See [Paper].
- 03/2023:Invited poster in the Energy High Performance Computing Conference sponsored by the Ken Kennedy Institute.
- 03/2023:Invited talk in the seminor of CS department at Rice University. See [Talk].
- 02/2023: Our efficient XAI survey paper has been reported by TechBeat and Tencent Developer! See [TechBeat] and [Tencent].
- 02/2023: Our opensource project DiscoverPath has been released! See [DiscoverPath] for online demo; and [Github] for source code.
- 01/2023: Our work CoRTX: Contrastive Learning for Real-time Explanations. is accepted by ICLR 2023! See [Paper]
- 12/2022: It's my honor to have received the KKI 2022/23 Graduate Fellowship from the Ken Kennedy Institute of Rice University. See [the Full List].
- 10/2022: Our real-time object detection demo work achieves the Best Paper Award in CIKM 2022! Thanks to all of the co-authors! See [Paper].
- 09/2022: Our Accelerating Shapley Explanation via Contributive Cooperator Selection is selected as the Spotlight of ICML 2022! See [Paper].
- 08/2022: Tutorial of medical anomaly detection using TODS has been released! See [Github].
- 08/2022: Our real-time object detection system based on MAX78000 is accepted by CIKM 2022 Demo Track! See [Github].
- 06/2022: Our work Accelerating Shapley Explanation via Contributive Cooperator Selection is accepted by ICML 2022! See [Paper].
- 12/2021: Our real-time object detection based on MAX78000 for edge devices has been released! See [Github].
- 10/2021: Two papers Fairness via Representation Neutralization and Revisiting Time Series Outlier Detection: Definitions and Benchmarks are accepted by NeurIPS 2021!
- 09/2020: Our opensource package TODS is accepted by AAAI 2021 Demo Track! See [Paper].
- 06/2020: Opensource package TODS for end-to-end time-series outlier detection has been online! See [Github].
- 04/2020: Our work Independent Skill Transfer for Deep Reinforcement Learning is accepted by IJCAI 2020 (Accepted rate 12.6%)! See [Paper].